OpenML
Supervised Classification on irish

Supervised Classification on irish

Task 3543 Supervised Classification irish 13251 runs submitted
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  • mythbusting_1 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_41 under100k under1m
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13251 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9398, kb_relative_information_score: -0.2368, mean_absolute_error: 0.4938, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4943, root_relative_squared_error: 0.9948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -1.1667, mean_absolute_error: 0.4945, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0015, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8269, kb_relative_information_score: 31.7001, mean_absolute_error: 0.4712, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9543, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.476, root_relative_squared_error: 0.9581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 13.9279, mean_absolute_error: 0.4822, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9765, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5075, root_relative_squared_error: 1.0214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7073, kb_relative_information_score: 0.3402, mean_absolute_error: 0.4935, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4968, root_relative_squared_error: 0.9999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9713, kb_relative_information_score: -0.6013, mean_absolute_error: 0.4941, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0007, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4961, root_relative_squared_error: 0.9984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6559, kb_relative_information_score: -4.6984, mean_absolute_error: 0.4967, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.006, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4976, root_relative_squared_error: 1.0014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8846, f_measure: 0.76, kappa: 0.5127, kb_relative_information_score: 167.7651, mean_absolute_error: 0.3461, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.7673, predictive_accuracy: 0.764, prior_entropy: 0.991, recall: 0.764, relative_absolute_error: 0.7009, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3913, root_relative_squared_error: 0.7876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9738, f_measure: 0.9135, kappa: 0.8243, kb_relative_information_score: 293.3771, mean_absolute_error: 0.2287, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9157, predictive_accuracy: 0.914, prior_entropy: 0.991, recall: 0.914, relative_absolute_error: 0.4631, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2814, root_relative_squared_error: 0.5665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7434, f_measure: 0.6682, kappa: 0.3259, kb_relative_information_score: 9.5188, mean_absolute_error: 0.4874, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.67, predictive_accuracy: 0.672, prior_entropy: 0.991, recall: 0.672, relative_absolute_error: 0.987, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4882, root_relative_squared_error: 0.9826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1.5337, mean_absolute_error: 0.4926, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9976, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.497, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -1.1448, mean_absolute_error: 0.4945, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0014, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -3.6559, mean_absolute_error: 0.496, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0046, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4973, root_relative_squared_error: 1.0009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5521, kb_relative_information_score: 3.0424, mean_absolute_error: 0.4914, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9952, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4973, root_relative_squared_error: 1.0009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -3.3996, mean_absolute_error: 0.4959, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0043, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4972, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9452, f_measure: 0.8525, kappa: 0.7028, kb_relative_information_score: 32.1499, mean_absolute_error: 0.4722, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.8869, predictive_accuracy: 0.858, prior_entropy: 0.991, recall: 0.858, relative_absolute_error: 0.9564, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4732, root_relative_squared_error: 0.9524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 2.2625, mean_absolute_error: 0.492, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9965, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4971, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2876, mean_absolute_error: 0.4935, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.982, kappa: 0.9636, kb_relative_information_score: 439.4772, mean_absolute_error: 0.0708, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9821, predictive_accuracy: 0.982, prior_entropy: 0.991, recall: 0.982, relative_absolute_error: 0.1433, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1348, root_relative_squared_error: 0.2712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.8468, mean_absolute_error: 0.4931, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: 0.3936, mean_absolute_error: 0.4935, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -17.0373, mean_absolute_error: 0.5053, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.444, prior_entropy: 0.991, recall: 0.444, relative_absolute_error: 1.0234, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5075, root_relative_squared_error: 1.0215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7913, f_measure: 0.7123, kappa: 0.4164, kb_relative_information_score: 27.917, mean_absolute_error: 0.4741, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.7199, predictive_accuracy: 0.718, prior_entropy: 0.991, recall: 0.718, relative_absolute_error: 0.9602, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4765, root_relative_squared_error: 0.959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9414, kb_relative_information_score: 29.6068, mean_absolute_error: 0.4687, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9493, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4853, root_relative_squared_error: 0.9767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: 0.5004, mean_absolute_error: 0.4934, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -10.0658, mean_absolute_error: 0.5003, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.444, prior_entropy: 0.991, recall: 0.444, relative_absolute_error: 1.0132, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5003, root_relative_squared_error: 1.0069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: 0.8833, mean_absolute_error: 0.4931, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9986, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.836, kb_relative_information_score: -4.0495, mean_absolute_error: 0.4963, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0051, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4967, root_relative_squared_error: 0.9997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -2.1077, mean_absolute_error: 0.4951, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0026, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.497, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: 1.14, mean_absolute_error: 0.4929, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9982, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8455, f_measure: 0.7537, kappa: 0.5006, kb_relative_information_score: 169.0039, mean_absolute_error: 0.3422, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.7535, predictive_accuracy: 0.754, prior_entropy: 0.991, recall: 0.754, relative_absolute_error: 0.6931, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4012, root_relative_squared_error: 0.8074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 499.9636, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, root_mean_prior_squared_error: 0.4969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 476.6548, mean_absolute_error: 0.0252, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9863, predictive_accuracy: 0.986, prior_entropy: 0.991, recall: 0.986, relative_absolute_error: 0.051, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1169, root_relative_squared_error: 0.2353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.996, kappa: 0.9919, kb_relative_information_score: 495.8908, mean_absolute_error: 0.004, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.996, predictive_accuracy: 0.996, prior_entropy: 0.991, recall: 0.996, relative_absolute_error: 0.0081, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0548, root_relative_squared_error: 0.1102,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 499.9636, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, root_mean_prior_squared_error: 0.4969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 476.1243, mean_absolute_error: 0.026, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9863, predictive_accuracy: 0.986, prior_entropy: 0.991, recall: 0.986, relative_absolute_error: 0.0527, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1163, root_relative_squared_error: 0.234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 476.4371, mean_absolute_error: 0.0257, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9863, predictive_accuracy: 0.986, prior_entropy: 0.991, recall: 0.986, relative_absolute_error: 0.052, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1158, root_relative_squared_error: 0.2331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 476.7306, mean_absolute_error: 0.0254, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9863, predictive_accuracy: 0.986, prior_entropy: 0.991, recall: 0.986, relative_absolute_error: 0.0514, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1153, root_relative_squared_error: 0.2321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 477.107, mean_absolute_error: 0.0246, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9863, predictive_accuracy: 0.986, prior_entropy: 0.991, recall: 0.986, relative_absolute_error: 0.0498, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1194, root_relative_squared_error: 0.2404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.996, kappa: 0.9919, kb_relative_information_score: 496.1153, mean_absolute_error: 0.0038, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.996, predictive_accuracy: 0.996, prior_entropy: 0.991, recall: 0.996, relative_absolute_error: 0.0077, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0435, root_relative_squared_error: 0.0876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 477.2721, mean_absolute_error: 0.0238, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9863, predictive_accuracy: 0.986, prior_entropy: 0.991, recall: 0.986, relative_absolute_error: 0.0482, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1191, root_relative_squared_error: 0.2396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 499.9636, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, root_mean_prior_squared_error: 0.4969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 475.9729, mean_absolute_error: 0.0253, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9863, predictive_accuracy: 0.986, prior_entropy: 0.991, recall: 0.986, relative_absolute_error: 0.0513, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1213, root_relative_squared_error: 0.2442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 480.0086, mean_absolute_error: 0.0206, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9863, predictive_accuracy: 0.986, prior_entropy: 0.991, recall: 0.986, relative_absolute_error: 0.0418, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.118, root_relative_squared_error: 0.2375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 477.4379, mean_absolute_error: 0.0244, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9863, predictive_accuracy: 0.986, prior_entropy: 0.991, recall: 0.986, relative_absolute_error: 0.0494, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1177, root_relative_squared_error: 0.2369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 499.9636, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, root_mean_prior_squared_error: 0.4969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 477.3827, mean_absolute_error: 0.0242, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9863, predictive_accuracy: 0.986, prior_entropy: 0.991, recall: 0.986, relative_absolute_error: 0.049, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1185, root_relative_squared_error: 0.2384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 476.0473, mean_absolute_error: 0.0256, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9863, predictive_accuracy: 0.986, prior_entropy: 0.991, recall: 0.986, relative_absolute_error: 0.0519, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1216, root_relative_squared_error: 0.2446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 476.3752, mean_absolute_error: 0.0252, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9863, predictive_accuracy: 0.986, prior_entropy: 0.991, recall: 0.986, relative_absolute_error: 0.051, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1185, root_relative_squared_error: 0.2384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 499.9636, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, root_mean_prior_squared_error: 0.4969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 477.6109, mean_absolute_error: 0.0228, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9863, predictive_accuracy: 0.986, prior_entropy: 0.991, recall: 0.986, relative_absolute_error: 0.0462, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1169, root_relative_squared_error: 0.2354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 480.4605, mean_absolute_error: 0.0201, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9863, predictive_accuracy: 0.986, prior_entropy: 0.991, recall: 0.986, relative_absolute_error: 0.0406, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1163, root_relative_squared_error: 0.234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 480.0086, mean_absolute_error: 0.0206, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9863, predictive_accuracy: 0.986, prior_entropy: 0.991, recall: 0.986, relative_absolute_error: 0.0418, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.118, root_relative_squared_error: 0.2375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 475.2343, mean_absolute_error: 0.0255, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9863, predictive_accuracy: 0.986, prior_entropy: 0.991, recall: 0.986, relative_absolute_error: 0.0517, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1233, root_relative_squared_error: 0.2481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 476.5993, mean_absolute_error: 0.0245, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9863, predictive_accuracy: 0.986, prior_entropy: 0.991, recall: 0.986, relative_absolute_error: 0.0497, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1207, root_relative_squared_error: 0.243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 476.728, mean_absolute_error: 0.0253, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9863, predictive_accuracy: 0.986, prior_entropy: 0.991, recall: 0.986, relative_absolute_error: 0.0513, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1154, root_relative_squared_error: 0.2323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.984, kappa: 0.9675, kb_relative_information_score: 479.8992, mean_absolute_error: 0.0202, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9842, predictive_accuracy: 0.984, prior_entropy: 0.991, recall: 0.984, relative_absolute_error: 0.041, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.11, root_relative_squared_error: 0.2214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 499.9636, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, root_mean_prior_squared_error: 0.4969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 475.9683, mean_absolute_error: 0.0262, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9863, predictive_accuracy: 0.986, prior_entropy: 0.991, recall: 0.986, relative_absolute_error: 0.0532, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1163, root_relative_squared_error: 0.2341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 499.9636, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, root_mean_prior_squared_error: 0.4969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 477.0834, mean_absolute_error: 0.0234, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9863, predictive_accuracy: 0.986, prior_entropy: 0.991, recall: 0.986, relative_absolute_error: 0.0474, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1153, root_relative_squared_error: 0.2321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 476.7383, mean_absolute_error: 0.0232, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9863, predictive_accuracy: 0.986, prior_entropy: 0.991, recall: 0.986, relative_absolute_error: 0.047, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1218, root_relative_squared_error: 0.2451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 476.9392, mean_absolute_error: 0.0247, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9863, predictive_accuracy: 0.986, prior_entropy: 0.991, recall: 0.986, relative_absolute_error: 0.05, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1209, root_relative_squared_error: 0.2433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 499.9636, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, root_mean_prior_squared_error: 0.4969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 475.7487, mean_absolute_error: 0.0248, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9863, predictive_accuracy: 0.986, prior_entropy: 0.991, recall: 0.986, relative_absolute_error: 0.0503, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1239, root_relative_squared_error: 0.2494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 476.7153, mean_absolute_error: 0.0232, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9863, predictive_accuracy: 0.986, prior_entropy: 0.991, recall: 0.986, relative_absolute_error: 0.0471, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1218, root_relative_squared_error: 0.2451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 477.9703, mean_absolute_error: 0.0235, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9863, predictive_accuracy: 0.986, prior_entropy: 0.991, recall: 0.986, relative_absolute_error: 0.0475, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1154, root_relative_squared_error: 0.2323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 477.1059, mean_absolute_error: 0.0244, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9863, predictive_accuracy: 0.986, prior_entropy: 0.991, recall: 0.986, relative_absolute_error: 0.0494, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1176, root_relative_squared_error: 0.2368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 499.9636, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, root_mean_prior_squared_error: 0.4969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 477.5158, mean_absolute_error: 0.0237, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9863, predictive_accuracy: 0.986, prior_entropy: 0.991, recall: 0.986, relative_absolute_error: 0.0481, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.117, root_relative_squared_error: 0.2354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 476.6956, mean_absolute_error: 0.0252, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9863, predictive_accuracy: 0.986, prior_entropy: 0.991, recall: 0.986, relative_absolute_error: 0.051, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1165, root_relative_squared_error: 0.2345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.996, kappa: 0.9919, kb_relative_information_score: 497.0121, mean_absolute_error: 0.0028, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.996, predictive_accuracy: 0.996, prior_entropy: 0.991, recall: 0.996, relative_absolute_error: 0.0056, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0448, root_relative_squared_error: 0.0901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 479.9745, mean_absolute_error: 0.021, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9863, predictive_accuracy: 0.986, prior_entropy: 0.991, recall: 0.986, relative_absolute_error: 0.0426, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1128, root_relative_squared_error: 0.227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 475.6358, mean_absolute_error: 0.025, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9863, predictive_accuracy: 0.986, prior_entropy: 0.991, recall: 0.986, relative_absolute_error: 0.0506, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1237, root_relative_squared_error: 0.2489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 474.8795, mean_absolute_error: 0.0254, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9863, predictive_accuracy: 0.986, prior_entropy: 0.991, recall: 0.986, relative_absolute_error: 0.0515, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1266, root_relative_squared_error: 0.2547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 477.3953, mean_absolute_error: 0.0241, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9863, predictive_accuracy: 0.986, prior_entropy: 0.991, recall: 0.986, relative_absolute_error: 0.0489, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1192, root_relative_squared_error: 0.2399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 499.9636, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, root_mean_prior_squared_error: 0.4969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 476.7306, mean_absolute_error: 0.0254, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9863, predictive_accuracy: 0.986, prior_entropy: 0.991, recall: 0.986, relative_absolute_error: 0.0514, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1153, root_relative_squared_error: 0.2321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 499.9636, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, root_mean_prior_squared_error: 0.4969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 476.8643, mean_absolute_error: 0.0249, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9863, predictive_accuracy: 0.986, prior_entropy: 0.991, recall: 0.986, relative_absolute_error: 0.0503, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1142, root_relative_squared_error: 0.2298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 477.6058, mean_absolute_error: 0.0239, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9863, predictive_accuracy: 0.986, prior_entropy: 0.991, recall: 0.986, relative_absolute_error: 0.0484, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1185, root_relative_squared_error: 0.2386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 475.2399, mean_absolute_error: 0.0255, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9863, predictive_accuracy: 0.986, prior_entropy: 0.991, recall: 0.986, relative_absolute_error: 0.0516, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1196, root_relative_squared_error: 0.2406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 477.107, mean_absolute_error: 0.0246, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9863, predictive_accuracy: 0.986, prior_entropy: 0.991, recall: 0.986, relative_absolute_error: 0.0498, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1194, root_relative_squared_error: 0.2404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 476.6956, mean_absolute_error: 0.0252, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9863, predictive_accuracy: 0.986, prior_entropy: 0.991, recall: 0.986, relative_absolute_error: 0.051, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1165, root_relative_squared_error: 0.2345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 499.9636, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, root_mean_prior_squared_error: 0.4969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 476.4371, mean_absolute_error: 0.0257, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9863, predictive_accuracy: 0.986, prior_entropy: 0.991, recall: 0.986, relative_absolute_error: 0.052, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1158, root_relative_squared_error: 0.2331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.996, kappa: 0.9919, kb_relative_information_score: 495.8908, mean_absolute_error: 0.004, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.996, predictive_accuracy: 0.996, prior_entropy: 0.991, recall: 0.996, relative_absolute_error: 0.0081, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0548, root_relative_squared_error: 0.1102,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 476.6527, mean_absolute_error: 0.0255, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9863, predictive_accuracy: 0.986, prior_entropy: 0.991, recall: 0.986, relative_absolute_error: 0.0516, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1153, root_relative_squared_error: 0.2321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 499.9636, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, root_mean_prior_squared_error: 0.4969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 499.9636, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, root_mean_prior_squared_error: 0.4969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 477.3827, mean_absolute_error: 0.0242, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9863, predictive_accuracy: 0.986, prior_entropy: 0.991, recall: 0.986, relative_absolute_error: 0.049, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1185, root_relative_squared_error: 0.2384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 477.0318, mean_absolute_error: 0.0246, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9863, predictive_accuracy: 0.986, prior_entropy: 0.991, recall: 0.986, relative_absolute_error: 0.0499, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1174, root_relative_squared_error: 0.2364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 476.6548, mean_absolute_error: 0.0252, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9863, predictive_accuracy: 0.986, prior_entropy: 0.991, recall: 0.986, relative_absolute_error: 0.051, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1169, root_relative_squared_error: 0.2353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 477.183, mean_absolute_error: 0.0245, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9863, predictive_accuracy: 0.986, prior_entropy: 0.991, recall: 0.986, relative_absolute_error: 0.0495, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1187, root_relative_squared_error: 0.2389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 477.226, mean_absolute_error: 0.0244, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9863, predictive_accuracy: 0.986, prior_entropy: 0.991, recall: 0.986, relative_absolute_error: 0.0494, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1185, root_relative_squared_error: 0.2385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 476.7452, mean_absolute_error: 0.0234, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9863, predictive_accuracy: 0.986, prior_entropy: 0.991, recall: 0.986, relative_absolute_error: 0.0473, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1215, root_relative_squared_error: 0.2445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 476.9694, mean_absolute_error: 0.0243, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9863, predictive_accuracy: 0.986, prior_entropy: 0.991, recall: 0.986, relative_absolute_error: 0.0493, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.119, root_relative_squared_error: 0.2395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 499.9636, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, root_mean_prior_squared_error: 0.4969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.984, kappa: 0.9675, kb_relative_information_score: 477.3234, mean_absolute_error: 0.0227, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9842, predictive_accuracy: 0.984, prior_entropy: 0.991, recall: 0.984, relative_absolute_error: 0.046, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1169, root_relative_squared_error: 0.2352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.996, kappa: 0.9919, kb_relative_information_score: 496.1153, mean_absolute_error: 0.0038, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.996, predictive_accuracy: 0.996, prior_entropy: 0.991, recall: 0.996, relative_absolute_error: 0.0077, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0435, root_relative_squared_error: 0.0876,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

OpenML bootcamp

From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs